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Technical lead or SoC/chip lead experience working with collaborative cross-disciplinary teams (ASIC design, verification, physical design, emulation, software, electronic board design and platform.
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs). - Proficiency in programming languages such as Python, Java, or Node.js, and experience with machine learning frameworks like PyTorch and TensorFlow.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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You will be in the Silicon One development organization as an ASIC Implementation Technical Lead in San Jose, CA with a primary focus on Design-for-Test. You will work with Front-end RTL teams, backend physical design teams to understand chip architecture and drive DFT requirements early in the design cycle.
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Lead technical design of physical security solutions including but not limited to access control, intrusion detection, video surveillance and SOC solutions. · Lead programming efforts with clients to define functional and technical requirements.
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Familiar with one machine learning development framework such as PyTorch, TensorFlow, MXNet. We are looking for a full-time Machine Learning Intern - Foundation Models this fall, with strong enthusiasm towards building LVMs and foundation models.
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Create innovative design solutions based on first-principles and technical analysis followed by implementation in CAD (Onshape, Creo)Communicate and collaborate with executives and leads across software, packaging and operations.
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Strong technical knowledge in cell line development and engineering, single cell genomics, antibody development, or other single cell applications, and demonstrated technical credibility to effectively consult with customers to influence key decisions on technology and product choices.
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PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Experience with neural deep learning methods and machine learning.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Databricks - Machine learning professional (highly preferred.
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Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark. Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder.
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Bachelor's or Master's degree in Mechanical Engineering or similar field7+ years as a professional mechanical design engineer, delivering products as a technical lead through 2+ full design lifecycles from concept to manufacturing support, preferably in industrial equipment, power generation, or electromechanical machines.
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machine technical lead jobs Title: data engineer Company: Amazon in Sunnyvale, CA
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